Word learning tasks as a window into the triggering problem for presuppositions - CNRS - Centre national de la recherche scientifique
Article Dans Une Revue Natural Language Semantics Année : 2024

Word learning tasks as a window into the triggering problem for presuppositions

Nadine Bade
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Philippe Schlenker

Résumé

In this paper, we show that native speakers spontaneously divide the complex meaning of a new word into a presuppositional component and an assertive component. These results argue for the existence of a productive triggering algorithm for presuppositions, one that is not based on alternative lexical items nor on contextual salience. On a methodological level, the proposed learning paradigm can be used to test further theories concerned with the interaction of lexical properties and conceptual biases.

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hal-04840940 , version 1 (16-12-2024)

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Nadine Bade, Philippe Schlenker, Emmanuel Chemla. Word learning tasks as a window into the triggering problem for presuppositions. Natural Language Semantics, 2024, 32 (4), pp.473 - 503. ⟨10.1007/s11050-024-09224-5⟩. ⟨hal-04840940⟩
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